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Titlebook: Solutions of Fixed Point Problems with Computational Errors; Alexander J. Zaslavski Book 2024 The Editor(s) (if applicable) and The Author

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Book 2024approximate solutions of star-shaped feasibility problems in the presence of perturbations. The goal is to show the convergence of algorithms, which are known as important tools for solving convex feasibility problems and common fixed point problems.The text also presents studies of algorithms based
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Introduction, is to show the convergence of algorithms, which are known as important tools for solving feasibility problems and common fixed point problems. Some of these algorithms are discussed is this chapter. We also discuss algorithms based on unions of nonexpansive maps, inconsistent convex feasibility problems and split common fixed point problems.
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Iterative Methods in a Hilbert space,ution, if the sequence of computational errors is bounded from above by a constant. Moreover, for a known computational error, we find out what an approximate solution can be obtained and how many iterates one needs for this.
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The Cimmino Algorithm in a Hilbert Space,e solution, if the sequence of computational errors is bounded from above by a constant. Moreover, for a known computational error, we find out what an approximate solution can be obtained and how many iterates one needs for this.
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Dynamic String-Averaging Methods in Hilbert Spaces,enerates a good approximate solution, if the sequence of computational errors is bounded from above by a constant. Moreover, for a known computational error, we find out what an approximate solution can be obtained and how many iterates one needs for this.
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Methods with Remotest Set Control in a Hilbert Space, approximate solution, if the sequence of computational errors is bounded from above by a constant. Moreover, for a known computational error, we find out what an approximate solution can be obtained and how many iterates one needs for this.
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Solutions of Fixed Point Problems with Computational Errors978-3-031-50879-0Series ISSN 1931-6828 Series E-ISSN 1931-6836
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